Triple
T19350934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbey Church of Saint-Sauveur de Charroux |
E484014
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Charroux |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charroux | Statement: [Abbey Church of Saint-Sauveur de Charroux, locatedIn, Charroux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charroux Context triple: [Abbey Church of Saint-Sauveur de Charroux, locatedIn, Charroux]
-
A.
Charroux
chosen
Charroux is a historic commune in western France known for its medieval heritage and the remains of its once-prominent Benedictine abbey.
-
B.
Champagnat
Champagnat is a French surname most notably associated with Marcellin Champagnat, the Catholic priest who founded the Marist Brothers.
-
C.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
D.
Charny
Charny is a suburban community within the greater Quebec City region in Quebec, Canada, known primarily as a residential area for commuters to the provincial capital.
-
E.
Charny
Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.